FP-DNN: An Automated Framework for Mapping Deep Neural Networks onto FPGAs with RTL-HLS Hybrid Templates. - Yijin Guan; Hao Liang 003; Ningyi Xu; Wenqiang Wang; Shaoshuai Shi; Xi Chen 107; Guangyu Sun 003; Wei Zhang 012; Jason Cong (FCCM, 2017)

GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction. - Li Jiang 009; Shaoshuai Shi; Xiaojuan Qi 001; Jiaya Jia (ECCV (8), 2018)

Evaluation and identification of dynamic strain on a blast door subjected to blast loading using fibre Bragg grating sensors. - Ziming Xiong; Qinghua Zhang; Hao Lu 007; Shaoshuai Shi; Zewei You; Yuanpu Xia; Lin Bu (Int. J. Distributed Sens. Networks, 2018)

PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud. - Shaoshuai Shi; Xiaogang Wang 001; Hongsheng Li 001 (CVPR, 2019)

Feature Intertwiner for Object Detection. - Hongyang Li 001; Bo Dai 002; Shaoshuai Shi; Wanli Ouyang; Xiaogang Wang 001 (ICLR (Poster), 2019)

Part-A2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud. - Shaoshuai Shi; Zhe Wang 006; Xiaogang Wang 001; Hongsheng Li 001 (CoRR, 2019)

The theoretical and numerical analysis of water inrush through filling structures. - Shucai Li; Jing Wang 050; Liping Li; Shaoshuai Shi; Zongqing Zhou (Math. Comput. Simul., 2019)

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. - Li Jiang 009; Hengshuang Zhao; Shaoshuai Shi; Shu Liu 005; Chi-Wing Fu; Jiaya Jia (CVPR, 2020)

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection. - Shaoshuai Shi; Chaoxu Guo; Li Jiang 009; Zhe Wang 006; Jianping Shi; Xiaogang Wang 001; Hongsheng Li 001 (CVPR, 2020)

SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud. - Hongwei Yi; Shaoshuai Shi; Mingyu Ding; Jiankai Sun; Kui Xu 004; Hui Zhou 005; Zhe Wang 006; Sheng Li 008; Guoping Wang (ICRA, 2020)

PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges. - Shaoshuai Shi; Chaoxu Guo; Jihan Yang; Hongsheng Li 001 (CoRR, 2020)

Mechanism of water inrush in fractures and block collapse under hydraulic pressure. - Jing Wang 050; Shucai Li; Liping Li; Shaoshuai Shi; Zongqing Zhou; Shuguang Song (Math. Comput. Simul., 2020)

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection. - Jiajun Deng; Shaoshuai Shi; Peiwei Li; Wengang Zhou 001; Yanyong Zhang; Houqiang Li (AAAI, 2021)

Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds. - Bowen Cheng; Lu Sheng; Shaoshuai Shi; Ming Yang; Dong Xu 001 (CVPR, 2021)

ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection. - Jihan Yang; Shaoshuai Shi; Zhe Wang 006; Hongsheng Li 001; Xiaojuan Qi 001 (CVPR, 2021)

LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector. - Xiaoyang Guo; Shaoshuai Shi; Xiaogang Wang 001; Hongsheng Li 001 (ICCV, 2021)

Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation. - Li Jiang 009; Shaoshuai Shi; Zhuotao Tian; Xin Lai; Shu Liu 005; Chi-Wing Fu; Jiaya Jia (ICCV, 2021)

From Points to Parts: 3D Object Detection From Point Cloud With Part-Aware and Part-Aggregation Network. - Shaoshuai Shi; Zhe Wang 006; Jianping Shi; Xiaogang Wang 001; Hongsheng Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

RBGNet: Ray-based Grouping for 3D Object Detection. - Haiyang Wang; Shaoshuai Shi; Ze Yang 003; Rongyao Fang; Qi Qian 001; Hongsheng Li 001; Bernt Schiele; Liwei Wang 001 (CVPR, 2022)

MPPNet: Multi-frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection. - Xuesong Chen 001; Shaoshuai Shi; Benjin Zhu; Ka Chun Cheung; Hang Xu 004; Hongsheng Li 001 (ECCV (8), 2022)

Motion Transformer with Global Intention Localization and Local Movement Refinement. - Shaoshuai Shi; Li Jiang 009; Dengxin Dai; Bernt Schiele (NeurIPS, 2022)

CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds. - Haiyang Wang; Lihe Ding; Shaocong Dong; Shaoshuai Shi; Aoxue Li; Jianan Li 001; Zhenguo Li; Liwei Wang 001 (NeurIPS, 2022)

Towards Efficient 3D Object Detection with Knowledge Distillation. - Jihan Yang; Shaoshuai Shi; Runyu Ding; Zhe Wang 006; Xiaojuan Qi 001 (NeurIPS, 2022)

3D Object Detection for Autonomous Driving: A Review and New Outlooks. - Jiageng Mao; Shaoshuai Shi; Xiaogang Wang 001; Hongsheng Li 001 (CoRR, 2022)

MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge - Motion Prediction. - Shaoshuai Shi; Li Jiang 009; Dengxin Dai; Bernt Schiele (CoRR, 2022)

Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding. - Li Jiang 009; Zetong Yang; Shaoshuai Shi; Vladislav Golyanik; Dengxin Dai; Bernt Schiele (CVPR, 2023)

DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets. - Haiyang Wang; Chen Shi 001; Shaoshuai Shi; Meng Lei; Sen Wang; Di He 001; Bernt Schiele; Liwei Wang 001 (CVPR, 2023)

Virtual Sparse Convolution for Multimodal 3D Object Detection. - Hai Wu; Chenglu Wen; Shaoshuai Shi; Xin Li 003; Cheng Wang 003 (CVPR, 2023)

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection. - Benjin Zhu; Zhe Wang 006; Shaoshuai Shi; Hang Xu 004; Lanqing Hong; Hongsheng Li 001 (CVPR, 2023)

TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses. - Xuesong Chen 001; Shaoshuai Shi; Chao Zhang; Benjin Zhu; Qiang Wang 023; Ka Chun Cheung; Simon See; Hongsheng Li 001 (ICCV, 2023)

UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation. - Haiyang Wang; Hao Tang; Shaoshuai Shi; Aoxue Li; Zhenguo Li; Bernt Schiele; Liwei Wang 001 (ICCV, 2023)

CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations. - Qiming Xia; Jinhao Deng; Chenglu Wen; Hai Wu; Shaoshuai Shi; Xin Li 003; Cheng Wang 003 (ICCV, 2023)

Test-time Domain Adaptation for Monocular Depth Estimation. - Zhi Li 055; Shaoshuai Shi; Bernt Schiele; Dengxin Dai (ICRA, 2023)

Sparse Dense Fusion for 3D Object Detection. - Yulu Gao; Chonghao Sima; Shaoshuai Shi; Shangzhe Di; Si Liu 001; Hongyang Li 001 (IROS, 2023)

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection. - Shaoshuai Shi; Li Jiang 009; Jiajun Deng; Zhe Wang 006; Chaoxu Guo; Jianping Shi; Xiaogang Wang 001; Hongsheng Li 001 (Int. J. Comput. Vis., 2023)

ST3D++: Denoised Self-Training for Unsupervised Domain Adaptation on 3D Object Detection. - Jihan Yang; Shaoshuai Shi; Zhe Wang 006; Hongsheng Li 001; Xiaojuan Qi 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

3D Object Detection for Autonomous Driving: A Comprehensive Survey. - Jiageng Mao; Shaoshuai Shi; Xiaogang Wang 001; Hongsheng Li 001 (Int. J. Comput. Vis., 2023)

Open-Vocabulary 3D Semantic Segmentation with Foundation Models. - Li Jiang 009; Shaoshuai Shi; Bernt Schiele (CVPR, 2024)

GiT: Towards Generalist Vision Transformer Through Universal Language Interface. - Haiyang Wang; Hao Tang; Li Jiang 009; Shaoshuai Shi; Muhammad Ferjad Naeem; Hongsheng Li 001; Bernt Schiele; Liwei Wang 001 (ECCV (29), 2024)

AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving. - Xiaosong Jia; Shaoshuai Shi; Zijun Chen; Li Jiang; Wenlong Liao; Tao He; Junchi Yan (CoRR, 2024)

MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying. - Shaoshuai Shi; Li Jiang 009; Dengxin Dai; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving. - Xuesong Chen 001; Shaoshuai Shi; Tao Ma 002; Jingqiu Zhou; Simon See; Ka Chun Cheung; Hongsheng Li 001 (AAAI, 2025)

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving. - Xuesong Chen 001; Linjiang Huang; Tao Ma 002; Rongyao Fang; Shaoshuai Shi; Hongsheng Li 001 (CVPR, 2025)

JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data. - Runjian Chen; Wenqi Shao; Bo Zhang 069; Shaoshuai Shi; Li Jiang; Ping Luo 002 (CVPR, 2025)

Exposing the Copycat Problem of Imitation-based Planner: A Novel Closed-Loop Simulator, Causal Benchmark and Joint IL-RL Baseline. - Hui Zhou; Shaoshuai Shi; Hongsheng Li (CoRR, 2025)

DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving. - Chen Shi; Shaoshuai Shi; Kehua Sheng; Bo Zhang 106; Li Jiang (CoRR, 2025)

TrajFlow: Multi-modal Motion Prediction via Flow Matching. - Qi Yan; Brian Zhang; Yutong Zhang; Daniel Yang; Joshua White; Di Chen; Jiachao Liu; Langechuan Liu; Binnan Zhuang; Shaoshuai Shi; Renjie Liao (CoRR, 2025)

Edit360: 2D Image Edits to 3D Assets from Any Angle. - Junchao Huang; Xinting Hu; Shaoshuai Shi; Zhuotao Tian; Li Jiang (CoRR, 2025)

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction. - Muleilan Pei; Shaoshuai Shi; Lu Zhang 047; Peiliang Li 001; Shaojie Shen (CoRR, 2025)

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation. - Zhenhua Ning; Zhuotao Tian; Shaoshuai Shi; Guangming Lu 002; Daojing He; Wenjie Pei; Li Jiang 009 (CoRR, 2025)

Proteus-ID: ID-Consistent and Motion-Coherent Video Customization. - Guiyu Zhang; Chen Shi; Zijian Jiang; Xunzhi Xiang; Jingjing Qian; Shaoshuai Shi; Li Jiang (CoRR, 2025)

Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics. - Muleilan Pei; Shaoshuai Shi; Xuesong Chen; Xu Liu; Shaojie Shen (CoRR, 2025)